PN 4

SimTech EXC 2075 Project Network 4 "Data-integrated control systems design with guarantees"

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211 to 220 of 349 Results

utils.py May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks"" Python Source Code - 2.7 KB - MD5: 71fdd26d5fbf6ecbbcb93afe259e4809
Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots Jan 25, 2023 - PN 4-4 Rosenfelder, Mario; Ebel, Henrik; Eberhard, Peter, 2023, "Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots", https://doi.org/10.18419/DARUS-3331, DaRUS, V1 The videos provided show two experimental results of cooperative object transportation using lightweight omnidirectional mobile robots. In particular, the mobile robots shall transport two different polygonal, but non-convex, objects along predefined paths. No central decision entity is employed; the tasks are accomplished in a purely distributed m...
RosenfelderEbelEberhard23_ForceSynthesis_T.mp4 Jan 25, 2023 - Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots MPEG-4 Video - 7.1 MB - MD5: bc4571f66bf409948dc2a6aa5c4210fd
RosenfelderEbelEberhard23_ForceSynthesis_U.mp4 Jan 25, 2023 - Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots MPEG-4 Video - 8.3 MB - MD5: 83f9203386ecb32803b94a68217049d0
A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances Jun 20, 2022 - PN 4-7 Baier, Alexandra; Staab, Steffen, 2022, "A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances", https://doi.org/10.18419/DARUS-2905, DaRUS, V1, UNF:6:Y083ZdO8GLwf/Iimyij+mQ== [fileUNF] This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetrically placed rudder propellers. Additionally, we simulate wind forces...
20190805-095929.tab Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances Tabular Data - 756.9 KB - 12 Variables, 3601 Observations - UNF:6:elApnPwArW5//125o+aDDQ==
20190805-100028.tab Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances Tabular Data - 759.9 KB - 12 Variables, 3601 Observations - UNF:6:NvEznHcEdvtk/GE4hFA15g==
20190805-100059.tab Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances Tabular Data - 758.9 KB - 12 Variables, 3601 Observations - UNF:6:1d8PuvTZQ6FXz3fo5jp3kA==
20190805-100153.tab Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances Tabular Data - 757.8 KB - 12 Variables, 3601 Observations - UNF:6:p0YTV5dLGF5dVGKkEeVuoQ==
20190805-100228.tab Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances Tabular Data - 758.5 KB - 12 Variables, 3601 Observations - UNF:6:71031ZRuEscxWeAyt3J24A==

utils.py

May 15, 2023 - Supplements for "ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks""

Python Source Code - 2.7 KB -

Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots

Jan 25, 2023 - PN 4-4

Rosenfelder, Mario; Ebel, Henrik; Eberhard, Peter, 2023, "Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots", https://doi.org/10.18419/DARUS-3331, DaRUS, V1

The videos provided show two experimental results of cooperative object transportation using lightweight omnidirectional mobile robots. In particular, the mobile robots shall transport two different polygonal, but non-convex, objects along predefined paths. No central decision entity is employed; the tasks are accomplished in a purely distributed m...

RosenfelderEbelEberhard23_ForceSynthesis_T.mp4

Jan 25, 2023 - Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots

MPEG-4 Video - 7.1 MB -

RosenfelderEbelEberhard23_ForceSynthesis_U.mp4

Jan 25, 2023 - Experiment Videos of the Force-Based Non-Prehensile Cooperative Transportation of Objects with Mobile Robots

MPEG-4 Video - 8.3 MB -

A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances

Jun 20, 2022 - PN 4-7

Baier, Alexandra; Staab, Steffen, 2022, "A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances", https://doi.org/10.18419/DARUS-2905, DaRUS, V1, UNF:6:Y083ZdO8GLwf/Iimyij+mQ== [fileUNF]

This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetrically placed rudder propellers. Additionally, we simulate wind forces...

20190805-095929.tab

Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances

Tabular Data - 756.9 KB - 12 Variables, 3601 Observations -

20190805-100028.tab

Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances

Tabular Data - 759.9 KB - 12 Variables, 3601 Observations -

20190805-100059.tab

Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances

Tabular Data - 758.9 KB - 12 Variables, 3601 Observations -

20190805-100153.tab

Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances

Tabular Data - 757.8 KB - 12 Variables, 3601 Observations -

20190805-100228.tab

Jun 20, 2022 - A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances

Tabular Data - 758.5 KB - 12 Variables, 3601 Observations -

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